{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "5dc3fc06",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'tuple' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_5548/2507363654.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     16\u001b[0m \u001b[1;31m#设置x轴刻度\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     17\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mxticks\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mfontproperties\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmy_font\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 18\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0myticks\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m41\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m41\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     19\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: 'tuple' object is not callable"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x640 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''http://58921.com/alltime\n",
    "假设你获取到了2019年内地电影票房前20的电影（列表a)和电影票房数据（列表b)，请展示该数据\n",
    "a = ['流浪地球','疯狂的外星人','飞驰人生','大黄蜂','熊出没·原始时代','新喜剧之王']\n",
    "b = ['38.13','19.85','14.89','11.36','6.47','5.93']\n",
    "'''\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib import font_manager\n",
    "\n",
    "plt.figure(figsize=(20,8),dpi=80)\n",
    "\n",
    "my_font=font_manager.FontProperties(fname='C:\\\\Windows\\\\Fonts\\\\simhei.ttf',size=18)\n",
    "a = ['流浪地球','疯狂的外星人','飞驰人生','大黄蜂','熊出没·原始时代','新喜剧之王']\n",
    "b = ['38.13','19.85','14.89','11.36','6.47','5.93']\n",
    "\n",
    "plt.bar(range(len(a)),[float(i) for i in b],width=0.5,color=['r','g','b'])\n",
    "#设置x轴刻度\n",
    "plt.xticks(range(len(a)),a,fontproperties=my_font)\n",
    "plt.yticks(range(0,41,10),range(0,41,10))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "eb4051dc",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'tuple' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_5548/573070821.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     16\u001b[0m \u001b[1;31m#设置x轴刻度\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     17\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mxticks\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mfontproperties\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmy_font\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 18\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0myticks\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m41\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m41\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     19\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: 'tuple' object is not callable"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x640 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''http://58921.com/alltime\n",
    "假设你获取到了2019年内地电影票房前20的电影（列表a)和电影票房数据（列表b)，请展示该数据\n",
    "a = ['流浪地球','疯狂的外星人','飞驰人生','大黄蜂','熊出没·原始时代','新喜剧之王']\n",
    "b = ['38.13','19.85','14.89','11.36','6.47','5.93']\n",
    "'''\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib import font_manager\n",
    "\n",
    "plt.figure(figsize=(20,8),dpi=80)\n",
    "\n",
    "my_font=font_manager.FontProperties(fname='C:\\\\Windows\\\\Fonts\\\\simhei.ttf',size=18)\n",
    "a = ['流浪地球','疯狂的外星人','飞驰人生','大黄蜂','熊出没·原始时代','新喜剧之王']\n",
    "b = ['38.13','19.85','14.89','11.36','6.47','5.93']\n",
    "\n",
    "plt.bar(range(len(a)),[float(i) for i in b],width=0.5,color=['r','g','b'])\n",
    "#设置x轴刻度\n",
    "plt.xticks(range(len(a)),a,fontproperties=my_font)\n",
    "plt.yticks(range(0,41,10),range(0,41,10))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b80bef69",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "pygments_lexer": "ipython3",
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